Remove Analytics Remove Compliance Remove eBook Remove Machine Learning
article thumbnail

Not Getting the Most From Your Model Ops? Why Businesses Struggle With Data Science and Machine Learning

TIBCO - Connected Intelligence

Companies have begun to recognize the value of integrating data science (DS) and machine learning (ML) across their organization to reap the benefits of the advanced analytics they can provide. What are the barriers keeping businesses from operationalizing data science and machine learning? Reading Time: 2 minutes.

article thumbnail

Promoting cybersecurity awareness in your boardroom

Lacework

You may have to learn unfamiliar compliance frameworks, applications, and security tools and protocols. Create reports that meet standard compliance frameworks. By managing controls, it can also conform to the buyer’s compliance mandates, which is particularly useful when companies with varying compliance requirements merge. .

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How Healthcare Can Meet the Challenges of Cloud Migration and Reap Optimal Benefits

TIBCO - Connected Intelligence

Healthcare cloud can drive improvements in cost management, data access, analytics, compliance, and disaster management, among other areas. Drive Improvements With Data Analytics. Cloud computing can support deploying artificial intelligence (AI) and machine learning techniques to derive accurate insights from collected data.

article thumbnail

The AI Contribution to Decision-Making

DataRobot

Rather than waiting until a prediction has been made, savvy business people are focusing not on what machine learning (ML) techniques might result in an interesting prediction but instead are turning their minds to the question “What do I need to know to change the way we make decisions?”. What Decisions Can Change – and How?

article thumbnail

Making the World a Better Place with Data

CIO

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Agencies need tools and policies that balance transparency, security, privacy, and regulatory compliance. You can learn more in our interactive ebook, “Data in Motion to Accelerate Your Mission.”. Want to learn more?

Data 239
article thumbnail

Making the World a Better Place with Data

Cloudera

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Agencies need tools and policies that balance transparency, security, privacy, and regulatory compliance. You can learn more in our interactive ebook, “Data in Motion to Accelerate Your Mission.”. Want to learn more?

Data 78
article thumbnail

What Is Endpoint Security Management and Why Is It Important?

Kaseya

Regulatory compliance: Data protection is serious business, and organizations have to comply with various government regulations to ensure this. Round-the-clock monitoring, clubbed with machine learning and behavioral analytics, helps organizations contain threats before they become an actual breach.